Guillaume Pernelle

Founder & CEO, Audiala · Lausanne, Switzerland

Summary

I build AI products end to end — from research to production. Currently founder & CEO of Audiala, the AI travel companion: 1,000+ cities, 11 languages, fully offline, built solo. Previously co-founded Magic Carpet AI, a deep-reinforcement-learning asset-management startup, and sold it to Blockchain.com four years after founding — an eight-figure exit. PhD in computational neuroscience from Imperial College London; engineering degrees from Technische Universität München and École Centrale Marseille.

Experience

Audiala Solutions AG — Founder & CEO

Sep 2023 – present

Lausanne, Switzerland · audiala.com

Hyll AG — Consulting CTO

Jan – Mar 2024

Switzerland · hyll.com

Blockchain.com — Principal Quantitative Researcher

Nov 2021 – Nov 2022

Remote, Switzerland · joined through the acquisition of Magic Carpet AI · blockchain.com

Magic Carpet AI — Co-founder & CTO

Nov 2017 – Nov 2021

London, UK · acquired by Blockchain.com, Nov 2021 (announcement, advisor note)

Qualimatest — Software Developer

Jun 2013 – Oct 2014

Geneva, Switzerland · testing and quality-control solutions · qmt.ch

Harvard Medical School — Research Trainee in Radiology

Jun – Dec 2012

Surgical Planning Laboratory, Brigham and Women's Hospital, Boston, USA · spl.harvard.edu

Master's thesis on medical-image segmentation and registration using mechanically inspired models — evaluation phantom design, and efficient, publicly released software in Python and C++. Followed by several peer-reviewed publications (MICCAI 2013, Medical Image Analysis 2017).

OptCon — Freelance Developer

May 2011 – May 2012

Munich, Germany · optcon.de

Built OptCon's website and ran its search-engine optimization.

CorInnova — R&D Intern

May – Aug 2010

College Station, Texas, USA · corinnova.com

Prototyped analog hardware reading an electrocardiogram and driving a pump, for the world's first minimally invasive non-blood-contacting cardiac assist device — the heart wall is pushed in sync with the ECG.

Airbus — Intern, A340 Final Assembly Line

Jul – Aug 2009

Toulouse, France

Assembly of motors, winglets, and landing gear; verification of electrical systems.

Education

Imperial College London — PhD, Computational Neuroscience

Nov 2014 – Oct 2017

Bioengineering Department, Computational Neuroscience Laboratory · supervisor Dr. Claudia Clopath

Modeled the dynamics of spiking recurrent neural networks — how gap-junction plasticity regulates network-wide oscillations and ensures robust information transfer between brain regions; also studied the relationship between blood oxygen concentration and neural activity. Graduate Teaching Assistant for Computational Neuroscience, Mathematics, and Python. PhD thesis.

Technische Universität München — Diplom-Ingenieur (Masters)

Sep 2010 – Dec 2012

Mechanical Engineering · major Medical Technology, minors Micro Technology & Product Development · T.I.M.E. double-degree program

Thesis at the Surgical Planning Laboratory, Harvard Medical School — research, software engineering, and mechanical engineering applied to radiology.

École Centrale Marseille — Ingénieur Centralien (Masters)

Sep 2008 – Dec 2012

Major Image & Signal Processing, minors Management & Communication

Thesis: an imaging system based on light polarization for biomedical applications — detection of skin cancers.

Talks

Bernstein Conference — Computational Neuroscience

Sep 2017 · Göttingen

Gap junction plasticity as a mechanism to regulate network-wide oscillations

MICCAI 2013 — Medical Image Computing

Sep 2013 · Nagoya

Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy

Publications

Fully automatic catheter segmentation in MRI with 3D convolutional neural networks — application to MRI-guided gynecologic brachytherapy

Physics in Medicine & Biology 64 (16), 2019

Automatic needle segmentation and localization in MRI with 3-D convolutional neural networks — application to MRI-targeted prostate biopsy

IEEE Transactions on Medical Imaging 38 (4), 2018

Gap junction plasticity as a mechanism to regulate network-wide oscillations

PLoS Computational Biology 14 (3), 2018

Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images

Medical Image Analysis 42, 2017

Gap junction plasticity can lead to spindle oscillations

arXiv:1710.03999, 2017

Model-based catheter segmentation in MRI-images

arXiv:1705.06712, 2017

Needle trajectory segmentation for MRI-guided prostate biopsy

BWH Research Symposium, 2017 · Symposium Award

Modelling and analysing of neural network dynamics (PhD thesis)

Imperial College London, 2017

EM-navigated catheter placement for gynecologic brachytherapy — an accuracy study

Medical Physics 44 (9), 2017

Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy

MICCAI, 2013

Automated interstitial brachytherapy catheter localization from volumetric MR data

Medical Physics 40 (6), 2013

Robust applicator registration for interstitial gynecologic brachytherapy

Brachytherapy 12, 2013

Needle labeling for interstitial gynecological brachytherapy

NCIGT / NIH Image Guided Therapy Workshop, 2012

Segmentation of pelvic structures for gynecologic brachytherapy

NCIGT / NIH Image Guided Therapy Workshop, 2012

Development of a non-blood contacting cardiac assist and support device — an in vivo proof of concept study

Journal of Medical Devices 5 (4), 2011

Assessment of minimally invasive device providing simultaneous adjustable cardiac support and active synchronous assist in an acute heart failure model

Journal of Medical Devices 5 (4), 2011

Open Source

needlefinder-3d-unet — deep learning for needle segmentation

github.com/needlefinder/needlefinder-3d-unet

3D U-Net convolutional model segmenting needles from 3D MRI, built on TensorFlow.

NeedleFinder — fast interactive needle detection

github.com/needlefinder/needlefinder

Open-source extension with interactive tools to segment needles in MR/CT images, validated on MRI from gynecological brachytherapy cases (MICCAI 2013).

iGyne — tools for image-guided brachytherapy

github.com/gpernelle/igyne

Procedure and applicator selection, data import, initial and refined applicator registration, needle position planning and detection.